Paper Title :Experimental Investigation of Machining Parameters on Milling Machine using Grey-Fuzzy Logic Method

Author :Jogendra Jangre, Amit Ku. Vishvakarma, Sanjay Vaidya

Article Citation :Jogendra Jangre ,Amit Ku. Vishvakarma ,Sanjay Vaidya , (2018 ) " Experimental Investigation of Machining Parameters on Milling Machine using Grey-Fuzzy Logic Method " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 20-23, Volume-6,Issue-2

Abstract : To improve the quality of the milling, the optimal combination of milling parameters is chosen using grey fuzzy hybrid analysis. The aim of this paper is to optimize machining parameters which greater response and to develop the multiple attribute decision making strategy with fuzzy approach. The selected control parameters are cutting speed, feed, axial depth of cut and redial depth of cut. The process parameters are designed by L16 orthogonal array based on Taguchi design. Factors are response were calculated. The results of confirmation experiments reveal that grey–fuzzy hybrid method can effectively optimize an optimal combination of the process parameters. Keyword - Milling Machine; Grey Relation Analysis, Fuzzy Logic, Hybrid Method, Taguchi Design

Type : Research paper

Published : Volume-6,Issue-2

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